Pattern Classification Using Ensemble Methods

Cambridge University Press is committed to keeping scholarly work in print for as long as possible. A short print-run of this academic paperback has been produced using digital technology. This technology has enabled Cambridge to keep the book in print for specialists and students when traditional methods of reprinting would not have been feasible. While the new digital cover differs from the original, the text content is identical to that of previous printings.

This book gives a general outlook on homotopy theory; fundamental concepts, such as homotopy groups and spectral sequences, are developed from a few axioms and are thus available in a broad variety of contexts. Many examples and applications in topology and algebra are discussed, including an introduction to rational homotopy theory in terms of both differential Lie algebras and De Rham algebras. The author describes powerful tools for homotopy classification problems, particularly for the classification of homotopy types and for the computation of the group homotopy equivalences. Applications and examples of such computations are given, including when the fundamental group is non-trivial. Moreover, the deep connection between the homotopy classification problems and the cohomology theory of small categories is demonstrated. The prerequisites of the book are few: elementary topology and algebra. Consequently, this account will be valuable for non-specialists and experts alike. It is an

Integral equations form an important class of problems, arising frequently in engineering, and in mathematical and scientific analysis. This textbook provides a readable account of techniques for their numerical solution. The authors devote their attention primarily to efficient techniques using high order approximations, taking particular account of situations where singularities are present. The classes of problems which arise frequently in practice, Fredholm of the first and second kind and eigenvalue problems, are dealt with in depth. Volterra equations, although attractive to treat theoretically, arise less often in practical problems and so have been given less emphasis. Some knowledge of numerical methods and linear algebra is assumed, but the book includes introductory sections on numerical quadrature and function space concepts. This book should serve as a valuable text for final year undergraduate or postgraduate courses, and as an introduction or reference work for practisin

In recent years the interplay between model theory and other branches of mathematics has led to many deep and intriguing results. In this, the first book on the topic, the theme is the interplay between model theory and the theory of modules. The book is intended to be a self-contained introduction to the subject and introduces the requisite model theory and module theory as it is needed. Dr Prest develops the basic ideas concerning what can be said about modules using the information which may be expressed in a first-order language. Later chapters discuss stability-theoretic aspects of modules, and structure and classification theorems over various types of rings and for certain classes of modules. Both algebraists and logicians will enjoy this account of an area in which algebra and model theory interact in a significant way. The book includes numerous examples and exercises and consequently will make an ideal introduction for graduate students coming to this subject for the first ti

This book is a rigorous introduction to the abstract theory of partial differential equations. The main prerequisite is familiarity with basic functional analysis: more advanced topics such as Fredholm operators, the Schauder fixed point theorem and Bochner integrals are introduced when needed, and the book begins by introducing the necessary material from the theory of distributions and Sobolev spaces. Using such techniques, the author presents different methods available for solving elliptic, parabolic and hyperbolic equations. He also considers the difference process for the practical solution of a partial differential equation, emphasising that it is possible to solve them numerically by simple methods. Many examples and exercises are provided throughout, and care is taken to explain difficult points. Advanced undergraduates and graduate students will appreciate this self-contained and practical introduction.

When this book was first published in 1984, the technique of remote sounding was growing rapidly in importance as a means for studying the structure, climate and weather of the atmospheres of the Earth and planets. Measurements from Earth satellites and interplanetary spacecraft proved particularly useful because they allowed good coverage of atmospheric systems in space and time, often with high resolution. This book describes how measurements can be made of the properties of the Earth and planets using this method. It includes descriptions of the scientific principles, technical implementation, mathematical methods for analysing the measurements, a history of measurements that have been made and discussions of the phenomena that have been discovered and studied using remote sounding. The technique is important for meteorology, climatology and an understanding of humankind's impact on the Earth's atmosphere.

This fourth volume of the Handbook of Phycological Methods, with its field-oriented perspective, is a comprehensive treatment of recently developed methodologies in the rapidly advancing field of marine benthic algal ecology. Both traditional and modern methods are presented along with the limitations of various projectspecific examples. References and discussions include how procedures may be adapted to suit different habitats, diverse algal systems, or other conditions. This book contains sufficient detail to be valuable to a wide audience, including both advanced and student researchers and educators throughout the academic and technical community.

This book presents an introduction to singular-perturbation problems, problems which depend on a parameter in such a way that solutions behave non-uniformly as the parameter tends toward some limiting value of interest. The author considers and solves a variety of problems, mostly for ordinary differential equations. He constructs (approximate) solutions for oscillation problems, using the methods of averaging and of multiple scales. For problems of the nonoscillatory type, where solutions exhibit 'fast dynamics' in a thin initial layer, he derives solutions using the O'Malley/Hoppensteadt method and the method of matched expansions. He obtains solutions for boundary-value problems, where solutions exhibit rapid variation in thin layers, using a multivariable method. After a suitable approximate solution is constructed, the author linearizes the problem about the proposed approximate solution, and, emphasizing the use of the Banach/Picard fixed-point theorem, presents a study of the li

The central theme of this book is the theorem of Ambrose and Singer, which gives for a connected, complete and simply connected Riemannian manifold a necessary and sufficient condition for it to be homogeneous. This is a local condition which has to be satisfied at all points, and in this way it is a generalization of E. Cartan's method for symmetric spaces. The main aim of the authors is to use this theorem and representation theory to give a classification of homogeneous Riemannian structures on a manifold. There are eight classes, and some of these are discussed in detail. Using the constructive proof of Ambrose and Singer many examples are discussed with special attention to the natural correspondence between the homogeneous structure and the groups acting transitively and effectively as isometrics on the manifold.

In this book, Professor Copson gives a rigorous account of the theory of partial differential equations of the first order and of linear partial differential equations of the second order, using the methods of classical analysis. In spite of the advent of computers and the applications of the methods of functional analysis to the theory of partial differential equations, the classical theory retains its relevance in several important respects. Many branches of classical analysing have their origins in the rigourous discussion of problems in applies mathematics and theoretical physics, and the classical treatment of the theory of partial differential equations still provides the best method of treating many physical problems. A knowledge of the classical theory is essential for pure mathematics who intend to undertake research in this field, whatever approach they ultimately adopt. The numerical analyst needs a knowledge of classical theory in order to decide whether a problem has a uni

The Cambridge History of the Polar Regions is a landmark collection drawing together the history of the Arctic and Antarctica from the earliest times to the present. Structured as a series of thematic chapters, an international team of scholars offer a range of perspectives from environmental history, the history of science and exploration, cultural history, and the more traditional approaches of political, social, economic, and imperial history. The volume considers the centrality of Indigenous experience and the urgent need to build action in the present on a thorough understanding of the past. Using historical research based on methods ranging from archives and print culture to archaeology and oral histories, these essays provide fresh analyses of the discovery of Antarctica, the disappearance of Sir John Franklin, the fate of the Norse colony in Greenland, the origins of the Antarctic Treaty, and much more. This is an invaluable resource for anyone interested in the history of our

Beginning in the 1870s, migrant groups from Russia's steppes settled in the similar environment of the Great Plains. Many were Mennonites. They brought plants, in particular grain and fodder crops, trees and shrubs, as well as weeds. Following their example, and drawing on the expertise of émigré Russian-Jewish scientists, the US Department of Agriculture introduced more plants, agricultural sciences, especially soil science; and methods of planting trees to shelter the land from the wind. By the 1930s, many of the grain varieties in the Great Plains had been imported from the steppes. The fertile soil was classified using the Russian term 'chernozem'. The US Forest Service was planting shelterbelts using techniques pioneered in the steppes. And, tumbling across the plains was an invasive weed from the steppes: tumbleweed. Based on archival research in the United States, Russia, Ukraine, and Kazakhstan, this book explores the unexpected Russian roots of Great Plains agriculture.

Corporate Social Responsibility Across the Globe demonstrates many ways that CSR can be applied by law to overcome regulation and governance challenges around the world. Using interdisciplinary and comparative models and perspectives, the book challenges dominant understandings of CSR, such as neoliberal voluntarism, and demonstrates the regulatory and governance implications of an interdependent relationship between CSR and the law. The book identifies substantive and procedural barriers for CSR in national, public, and private international law. By analyzing, deconstructing, and reframing CSR in these contexts, the book underlines opportunities for more effective application of CSR as a governance mechanism. Chapters investigate relevant regulation concepts, paradigms and approaches for CSR; methods for infusing CSR in corporate governance; and ways to facilitate private regulation of CSR in more developed, emerging, and developing jurisdictions.

This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slide

Mathematics instruction is often more effective when presented in a physical context. Schramm uses this insight to help develop students' physical intuition as he guides them through the mathematical methods required to study upper-level physics. Based on the undergraduate Math Methods course he has taught for many years at Occidental College, the text encourages a symbiosis through which the physics illuminates the math, which in turn informs the physics. Appropriate for both classroom and self-study use, the text begins with a review of useful techniques to ensure students are comfortable with prerequisite material. It then moves on to cover vector fields, analytic functions, linear algebra, function spaces, and differential equations. Written in an informal and engaging style, it also includes short supplementary digressions ('By the Ways') as optional boxes showcasing directions in which the math or physics may be explored further. Extensive problems are included throughout, many t

From the Nuremberg Trials to contemporary human rights, Jews have long played prominent roles in the making of international law. But the actual ties between Jewish heritage and legal thought remain a subject of mystery and conjecture even among specialists. This volume of biographical studies takes a unique interdisciplinary approach, pairing historians and legal scholars to explore how the Jewish identities and experiences shaped their legal thought and activism. Using newly-discovered sources and sophisticated interpretative methods, this book offers an alternative history of twentieth-century international legal profession - and a new model to the emerging field of international legal biography.

As the world becomes increasingly connected, it is also more exposed to a myriad of cyber threats. We need to use multiple types of tools and techniques to learn and understand the evolving threat landscape. Data is a common thread linking various types of devices and end users. Analyzing data across different segments of cybersecurity domains, particularly data generated during cyber-attacks, can help us understand threats better, prevent future cyber-attacks, and provide insights into the evolving cyber threat landscape. This book takes a data oriented approach to studying cyber threats, showing in depth how traditional methods such as anomaly detection can be extended using data analytics and also applies data analytics to non-traditional views of cybersecurity, such as multi domain analysis, time series and spatial data analysis, and human-centered cybersecurity.

Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wil

Becoming Activists in Global China is the first purely sociological study of the religious movement Falun Gong and its resistance to the Chinese state. The literature on Chinese protest has intensively studied the 1989 democracy movement while largely ignoring opposition by Falun Gong, even though the latter has been more enduring. This comparative study explains why the Falun Gong protest took off in diaspora and the democracy movement did not. Using multiple methods, Becoming Activists in Global China explains how Falun Gong's roots in proselytizing and its ethic of volunteerism provided the launch pad for its political mobilization. Simultaneously, diaspora democracy activists adopted practices that effectively discouraged grassroots participation. The study also shows how the policy goal of eliminating Falun Gong helped shape today's security-focused Chinese state. Explaining Falun Gong's two decades of protest illuminates a suppressed piece of Chinese contemporary history and adva

Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet

Many leading experts contribute to this follow-up to An Introduction to Reservoir Simulation using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). It introduces more advanced functionality that has been recently added to the open-source MRST software. It is however a self-contained introduction to a variety of modern numerical methods for simulating multiphase flow in porous media, with applications to geothermal energy, chemical enhanced oil recovery (EOR), flow in fractured and unconventional reservoirs, and in the unsaturated zone. The reader will learn how to implement new models and algorithms in a robust, efficient manner. A large number of numerical examples are included, all fully equipped with code and data so that the reader can reproduce the results and use them as a starting point for their own work. Like the original textbook, this book will prove invaluable for researchers, professionals and advanced students using reservoir simulation me

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

This book presents specific methods for the physical rehabilitation, mental health restoration, and academic remediation of post-institutionalized international adoptees. The focus of the book is on the neurological, psychological, and educational consequences of complex childhood trauma in the context of a fundamental change in the social situation of development of former orphanage residents. A discussion of after-adoption traumatic experiences includes a critique of certain “conventional” approaches to the treatment of mental health issues and different disabilities in international adoptees. Using his 30-year background in research and clinical practice, the author expertly describes and analyses a range of methodologies in order to provide an integrated and practical system of “scaffolding” and “compensation” for the successful rehabilitation and remediation of children with ongoing traumatic experiences. This is essential reading for researchers and practicing clinicians concerne

Mattering, which is about feeling valued and adding value, is essential for health, happiness, love, work, and social well-being. We all need to feel valued by, and add value to, ourselves, others, co-workers, and community members. This book shows not only the signs, significance, and sources of mattering, but also presents the strategies to achieve mattering in our personal and professional lives. It uses research-based methods of change to help people achieve a higher sense of purpose and a deeper sense of meaning. Each chapter gives therapists, managers, teachers, parents, and healthcare professionals the tools needed to optimize personal and collective well-being and productivity. The volume explains how promoting mattering within communities fosters wellness and fairness in equal measure. By using the new science of feeling valued and adding value, the authors provide a guide to promoting happier lives and healthier societies.

Mattering, which is about feeling valued and adding value, is essential for health, happiness, love, work, and social well-being. We all need to feel valued by, and add value to, ourselves, others, co-workers, and community members. This book shows not only the signs, significance, and sources of mattering, but also presents the strategies to achieve mattering in our personal and professional lives. It uses research-based methods of change to help people achieve a higher sense of purpose and a deeper sense of meaning. Each chapter gives therapists, managers, teachers, parents, and healthcare professionals the tools needed to optimize personal and collective well-being and productivity. The volume explains how promoting mattering within communities fosters wellness and fairness in equal measure. By using the new science of feeling valued and adding value, the authors provide a guide to promoting happier lives and healthier societies.

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

Turbulence and the associated turbulent transport of scalar and vector fields is a classical physics problem that has dazzled scientists for over a century, yet many fundamental questions remain. Igor Rogachevskii, in this concise book, systematically applies various analytical methods to the turbulent transfer of temperature, particles and magnetic field. Introducing key concepts in turbulent transport including essential physics principles and statistical tools, this interdisciplinary book is suitable for a range of readers such as theoretical physicists, astrophysicists, geophysicists, plasma physicists, and researchers in fluid mechanics and related topics in engineering. With an overview to various analytical methods such as mean-field approach, dimensional analysis, multi-scale approach, quasi-linear approach, spectral tau approach, path-integral approach and analysis based on budget equations, it is also an accessible reference tool for advanced graduates, PhD students and resea

How can the classical Karnatik music of South India illuminate performers' and researchers' understanding of the art music of seventeenth-century Italy, and specifically Monteverdi's operas? Both art forms attach great value to the skill of vocal ornamentation, and by exploring the singer's practice moving between them, this Element reveals how intercultural approaches can enable the reconsideration of the history of Western music from a global perspective. Using methods from historical and comparative musicology, theory and practice-based research, Charulatha Mani analyses vocal ornamentation and technique and arrives at an innovative approach to studying musics from the past. Musical practice, the author argues, is an enactment of hybridity and the artistic product of plurality. Specifically, in early modern Europe the fluid movement of musicians from the East paved the way to a plurality of musical cultures. This finding holds deep implications for diversity in and decolonisation of

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

Over the past decades, public trust in medical professionals has steadily declined. This decline of trust and its replacement by ever tighter regulations is increasingly frustrating physicians. However, most discussions of trust are either abstract philosophical discussions or social science investigations not easily accessible to clinicians. The authors, one a surgeon-turned-philosopher, the other an analytical philosopher working in medical ethics, joined their expertise to write a book which straddles the gap between the practical and theoretical. Using an approach grounded in the methods of conceptual analysis found in analytical philosophy which also draws from approaches to medical diagnosis, the authors have conceived an internally coherent and comprehensive definition of trust to help elucidate the concept and explain its decline in the medical context. This book should appeal to all interested in the ongoing debate about the decline of trust - be it as medical professionals, m

This book gives an up-to-date overview of methodological and data-analytical issues of cross-cultural studies. Written by leading experts in the field, it presents the most important tools for doing cross-cultural research and outlines design considerations, methods, and analytical techniques that can improve ecological validity and help researchers to avoid pitfalls in cross-cultural psychology. By focusing on the relevant research questions that can be tackled with particular methods, it provides practical guidance on how to translate conceptual questions into decisions on study design and statistical techniques. Featuring examples from cognitive and educational assessment, personality, health, and intercultural communication and management, and illustrating key techniques in feature boxes, this concise and accessible guide is essential reading for researchers, graduate students, and professionals who work with culture-comparative data.

A classical viewpoint claims that reality consists of both things and stuff, and that we need a way to discuss these aspects of reality. This is achieved by using +count terms to talk about things while using +mass terms to talk about stuff. Bringing together contributions from internationally-renowned experts across interrelated disciplines, this book explores the relationship between mass and count nouns in a number of syntactic environments, and across a range of languages. It both explains how languages differ in their methods for describing these two fundamental categories of reality, and shows the many ways that modern linguistics looks to describe them. It also explores how the notions of count and mass apply to 'abstract nouns', adding a new dimension to the countability discussion. With its pioneering approach to the fundamental questions surrounding mass-count distinction, this book will be essential reading for researchers in formal semantics and linguistic typology.

Macroevolutionary inference has historically been treated as a two-step process, involving the inference of a tree, and then inference of a macroevolutionary model using that tree. Newer models blend the two steps. These methods make more complete use of fossils than the previous generation of Bayesian phylogenetic models. They also involve many more parameters than prior models, including parameters about which empiricists may have little intuition. In this Element, we set forth a framework for fitting complex, hierarchical models. The authors ultimately fit and use a joint tree and diversification model to estimate a dated phylogeny of the Cincta (Echinodermata), a morphologically distinct group of Cambrian echinoderms that lack the fivefold radial symmetry characteristic of extant members of the phylum. Although the phylogeny of cinctans remains poorly supported in places, this Element shows how models of character change and diversification contribute to understanding patterns of p

Using Bishop's work on constructive analysis as a framework, this monograph gives a systematic, detailed and general constructive theory of probability theory and stochastic processes. It is the first extended account of this theory: almost all of the constructive existence and continuity theorems that permeate the book are original. It also contains results and methods hitherto unknown in the constructive and nonconstructive settings. The text features logic only in the common sense and, beyond a certain mathematical maturity, requires no prior training in either constructive mathematics or probability theory. It will thus be accessible and of interest, both to probabilists interested in the foundations of their speciality and to constructive mathematicians who wish to see Bishop's theory applied to a particular field.

This book gives an up-to-date overview of methodological and data-analytical issues of cross-cultural studies. Written by leading experts in the field, it presents the most important tools for doing cross-cultural research and outlines design considerations, methods, and analytical techniques that can improve ecological validity and help researchers to avoid pitfalls in cross-cultural psychology. By focusing on the relevant research questions that can be tackled with particular methods, it provides practical guidance on how to translate conceptual questions into decisions on study design and statistical techniques. Featuring examples from cognitive and educational assessment, personality, health, and intercultural communication and management, and illustrating key techniques in feature boxes, this concise and accessible guide is essential reading for researchers, graduate students, and professionals who work with culture-comparative data.

This Element demonstrates how ceramics, a dataset that is more typically identified with chronology than social analysis, can forward the study of Egyptian society writ large. This Element argues that the sheer mass of ceramic material indicates the importance of pottery to Egyptian life. Ceramics form a crucial dataset with which Egyptology must critically engage, and which necessitate working with the Egyptian past using a more fluid theoretical toolkit. This Element will demonstrate how ceramics may be employed in social analyses through a focus on four broad areas of inquiry: regionalism; ties between province and state, elite and non-elite; domestic life; and the relationship of political change to social change. While the case studies largely come from the Old through Middle Kingdoms, the methods and questions may be applied to any period of Egyptian history.

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.

The quantification of morphology through time is a vital tool in elucidating macroevolutionary patterns. Studies of disparity require intense effort but can provide insights beyond those gained using other methodologies. Over the last several decades, studies of disparity have proliferated, often using echinoderms as a model organism. Echinoderms have been used to study the methodology of disparity analyses and potential biases as well as documenting the morphological patterns observed in clades through time. Combining morphological studies with phylogenetic analyses or other disparate data sets allows for the testing of detailed and far-reaching evolutionary hypotheses.